Time to Hire vs Time to Fill: Definitions and Calculation

Time to hire vs time to fill is one of the most common points of confusion in recruitment reporting. A founder asks "how long does it take us to hire?" and the HR team answers with one number, while the hiring manager quotes a completely different one from memory. Both may be right, because they are measuring different stretches of the same process. This guide defines both metrics clearly, shows how to calculate them with worked examples, explains what each one tells you, and lists practical ways to bring them down for Indian teams hiring anywhere from five to two hundred people a year.

Time to Hire vs Time to Fill: The Core Difference

Both metrics measure days, but they start the clock at different points.

• Time to fill starts when the requisition is approved (or the job is opened) and ends when a candidate accepts the offer. It measures how long the business is without the person it needs.
• Time to hire starts when the eventual hire first enters your pipeline (applies, is sourced or is referred) and ends when they accept the offer. It measures how fast your process moves a good candidate through.

Put simply, time to fill is the business view and time to hire is the candidate view. Time to fill is always equal to or longer than time to hire, because the hire usually enters the pipeline some days after the role opens.

Aspect	Time to Fill	Time to Hire
Clock starts	Requisition approved or job opened	Hired candidate enters the pipeline
Clock stops	Offer accepted	Offer accepted
Main question answered	How long is the seat empty?	How efficient is our selection process?
Influenced most by	Sourcing, approvals, market supply	Screening speed, interview scheduling, decision making
Who should care most	Founders, business heads, workforce planners	Recruiters, hiring managers

How to Calculate Time to Fill

Formula

Time to fill (days) = Offer acceptance date minus Requisition approval date

For a team view, average the number across all positions closed in a period, but always look at the median too, because one role that stayed open for five months will distort the average.

Worked example

Suppose a Pune-based manufacturing company closed five positions in a quarter:

Role	Requisition approved	Offer accepted	Time to fill
Accountant	3 July	2 August	30 days
Sales Executive	5 July	26 July	21 days
Production Supervisor	10 July	29 August	50 days
Store Keeper	15 July	30 July	15 days
Quality Engineer	1 August	4 October	64 days

Average time to fill is (30 + 21 + 50 + 15 + 64) / 5 = 36 days. The median is 30 days. The gap tells you two roles (supervisor and quality engineer) are pulling the average up, so that is where to look.

How to Calculate Time to Hire

Formula

Time to hire (days) = Offer acceptance date minus Date the hired candidate entered the pipeline

"Entered the pipeline" means the date of application, the date a recruiter first contacted a sourced candidate, or the date a referral was submitted. Pick one definition and apply it consistently.

Worked example

Using the same five roles:

Role	Hire entered pipeline	Offer accepted	Time to hire
Accountant	14 July	2 August	19 days
Sales Executive	12 July	26 July	14 days
Production Supervisor	8 August	29 August	21 days
Store Keeper	20 July	30 July	10 days
Quality Engineer	5 September	4 October	29 days

Average time to hire is (19 + 14 + 21 + 10 + 29) / 5 = 18.6 days. Now compare with time to fill: for the production supervisor, the process took 21 days once the right person appeared, but the role was open for 50 days. The problem was sourcing, not interviewing. For the quality engineer, both numbers are high, so the selection process itself is slow too.

What Each Metric Tells You

When time to fill is high but time to hire is normal

Your process is fine once candidates arrive; you are not finding them fast enough. Likely causes include a weak job description, the wrong job boards, salary bands below market, slow requisition approvals, or a role that simply has few qualified people in your city.

When both are high

The process itself is slow. Common causes in Indian companies are hiring managers who take a week to review shortlisted resumes, interview rounds scheduled only on Saturdays, a founder who must meet every candidate, and offer approvals that sit in someone's inbox.

When time to hire is very low

Usually good news, but check quality. If time to hire is low and early attrition is high, you may be skipping steps such as reference checks or practical tests. Pair speed metrics with a quality measure, as explained in our guide on how to measure quality of hire.

Break the Metric into Stages

A single number does not tell you where time is lost. Break time to hire into stage durations:

• Application to first screen
• First screen to first interview
• First interview to final interview
• Final interview to offer released
• Offer released to offer accepted

A hypothetical example: if a sales hire took 14 days and 6 of those were between the final interview and offer release, the fix is offer approval, not more recruiters. Many teams find that the "dead days" between stages account for more than half of total time to hire.

How to Reduce Time to Fill

1. Pre-approve standard roles. If you hire sales executives every quarter, approve a headcount plan for the year so each opening does not need fresh sign-off.
2. Keep JD templates ready. Roles you hire often should have a reviewed JD that can go live in an hour, not a week. See our guide to writing a job description.
3. Build a talent pool. Silver-medal candidates from the last round are the fastest source for the next opening. Tag them in your ATS.
4. Use referrals early. Announce the opening internally on day one, not after job boards fail.
5. Publish the salary range. It cuts mismatched applicants and late-stage drop-offs.

How to Reduce Time to Hire

1. Set stage service levels. For example: resumes reviewed within 48 hours, interview feedback within 24 hours, offer released within 2 working days of the final round.
2. Block interview slots. Ask hiring managers to reserve two fixed slots a week for interviews instead of finding time per candidate.
3. Combine rounds. A panel interview with two interviewers often replaces two separate rounds without losing signal.
4. Use scorecards. Structured feedback makes decisions faster because you are not chasing interviewers for opinions.
5. Prepare offer approvals in advance. Agree the band before the final interview so the offer is a formality.

Common Mistakes When Reporting These Metrics

• Mixing definitions across months. If January uses "job posted" and February uses "requisition approved", the trend is meaningless.
• Stopping the clock at joining date. Joining date includes the notice period, which in India can be 30 to 90 days. Track "time to start" separately so notice periods do not hide process speed.
• Averaging across very different roles. Report separately for frontline, mid-level and senior roles.
• Ignoring roles that never closed. Track open requisition age too, or the hardest roles disappear from your data.
• Treating speed as the only goal. A fast hire who leaves in 60 days costs more than a slower good hire.

Related Metrics Worth Tracking Alongside

Time to hire and time to fill are most useful when read with a few companion numbers. None of them need complex tools; they need consistent dates.

• Time to start: offer acceptance to joining date. In India this captures notice periods and is where many offers are lost to counter offers.
• Open requisition age: days since approval for roles still open. This catches the hard roles that never show up in closed-role averages.
• Stage conversion rate: the share of candidates moving from one stage to the next. A low screen-to-interview rate points to a JD or sourcing problem; a low interview-to-offer rate points to unclear criteria.
• Offer acceptance rate: offers accepted divided by offers released. A slow process often shows up here, because good candidates accept other offers while waiting.
• Cost per hire: speed has a cost. Paying an agency can shorten time to fill but raises cost per hire, so track both together rather than optimising one in isolation.

Setting Internal Targets

Rather than chasing external benchmarks, set targets from your own last two quarters. Take your current median per role family and aim to reduce it by a realistic margin, such as 15 to 20 percent, by fixing the slowest stage. Review monthly with hiring managers using a short table: role family, median time to fill, median time to hire, slowest stage, and one action.

Frequently Asked Questions

Is time to hire the same as time to fill?

No. Time to fill measures from requisition approval to offer acceptance. Time to hire measures from when the hired candidate entered the pipeline to offer acceptance. Time to fill is usually longer.

Should I measure until offer acceptance or joining date?

Measure until offer acceptance for both metrics, and track the period from acceptance to joining separately as time to start. In India, notice periods vary so much that including them hides how fast your own process is.

What is a good time to hire in India?

It depends on the role. Frontline and retail roles can close in days, while specialised technical roles take weeks. The more useful question is how your number compares with your own previous quarters and where the slowest stage is.

How do I track these metrics without an ATS?

A spreadsheet with requisition date, application date, stage dates and offer acceptance date per hire is enough to start. The difficulty is keeping it updated; an ATS records stage dates automatically as candidates move.

Track Hiring Speed Automatically

Fininvo Recruit records stage movements in the pipeline and includes hiring analytics for time-to-hire, cost-per-hire, source effectiveness and stage conversion, so you can see where days are lost without maintaining a manual tracker. Learn more on the Recruit page, check Recruit pricing, or see recruitment in Fininvo HRMS.